Evidence map›Paper›PMID 39474097›Full record

ArticleFrontiers in psychology2024

The impact of the COVID-19 pandemic on nostalgic social media use.

Peng Xiang, Lijuan Chen, Fuming Xu, Shasha Du, Mingxuan Liu, Yimeng Zhang, Jiayu Tu, Xiaoyuan Yin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Peng XiangDepartment of Social Work, Nanjing University of Finance and Economics, Nanjing, China.
Lijuan ChenThe High-Quality Development Evaluation Institute, Nanjing University of Posts and Telecommunications, Nanjing, China.
Fuming XuFaculty of Education, Yunnan Normal University, Kunming, China.
Shasha DuSchool of Social and Public Administration, Lingnan Normal University, Zhanjiang, China.
Mingxuan LiuDepartment of Social Work, Nanjing University of Finance and Economics, Nanjing, China.
Yimeng ZhangCollege of Philosophy, Jilin University, Changchun, China.
Jiayu TuDepartment of Social Work, Nanjing University of Finance and Economics, Nanjing, China.
Xiaoyuan YinDepartment of Social Work, Nanjing University of Finance and Economics, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite popular speculation that nostalgic social media use skyrocketed during the COVID-19 pandemic, this has yet to be formally investigated in the scientific literature. Methods: Interrupted time series analysis (ITSA) using a segmented regression model was performed to examine the changes in the weekly volume of searches for nostalgic songs on Results: Across the study period (January 1, 2019-February 28, 2021), an immediate and significant increase in nostalgic social media use was observed when the pandemic initially started (95% CI = [47314.30, 154969.60], Discussion: This study provides empirical evidence for the impact of the pandemic on nostalgic social media use. It also advances our understanding of the increased usage of social media during the pandemic. Additionally, as nostalgia has drawn increasing attention from media researchers, this study offers methodological insights into the quantification of nostalgia.

Indexed as

Douyinnostalgianostalgic social media usepandemicsocial media

Identifiers

PMID39474097
PMCPMC11518736

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.